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Machine learning with Python- LIVE VIRTUAL

Course

Online

£ 2,049 VAT inc.

Learn a new coding language!

  • Type

    Course

  • Level

    Intermediate

  • Methodology

    Online

  • Class hours

    50h

  • Duration

    Flexible

  • Start date

    Different dates available

  • Online campus

    Yes

  • Delivery of study materials

    Yes

  • Support service

    Yes

  • Virtual classes

    Yes

With so many opportunities on the horizon, a career as a Machine Learning Engineer can be both satisfying and rewarding. A good workshop, such as the one offered by KnowledgeHut, can lead you on the right path towards becoming a machine learning expert.So what is Machine Learning? Machine learning is an application of Artificial Intelligence which trains computers and machines to predict outcomes based on examples and previous experiences, without the need of explicit programming.

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now open

About this course

1. Statistical Learning
2. Python for Machine Learning
3. Fundamentals of Machine Learning
4. Optimization Techniques
5. Machine Learning Algorithms
6. Dimensionality Reduction
7. Neural Networks
8. Ensemble Learning

1. if you are interested in the field of machine learning and want to learn essential machine learning algorithms and implement them in real life business problem if you are a software or data engineer interested in learning the fundamentals of quantitative analysis and machine learning

For Machine Learning, it is important to have sufficient knowledge of at least one coding language. Python being a minimalistic and intuitive coding language becomes a perfect choice for beginners.

An Expert from Knowledgehut will take it forward.

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Reviews

This centre's achievements

2018

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 7 years

Subjects

  • Statistics
  • Performance
  • Probability
  • Python
  • Learning
  • Data
  • Machine
  • Hypothesis
  • Visualization
  • Exploratory
  • Theorem
  • Scikit Learn

Course programme

1. statistical Learning : Statistical analysis concepts
  • Descriptive statistics
  • Introduction to probability and Bayes theorem
  • Probability distributions
  • Hypothesis testing & scores
2. Python for Machine Learning : Python Overview
  • Pandas for pre-Processing and Exploratory Data Analysis
  • Numpy for Statistical Analysis
  • Matplotlib & Seaborn for Data Visualization
  • Scikit Learn
3. Introduction to Machine learning : Machine Learning Modelling Flow
  • How to treat Data in ML
  • Types of Machine Learning
  • Performance Measures
  • Bias-Variance Trade-Off
  • Overfitting & Underfitting
4. Optimization: Maxima and Minimal
  • Cost Function
  • Learning Rate
  • Optimization Techniques
5. Supervised Learning : Linear Regression
  • Case Study
  • Logistic Regression
  • Case Study
  • KNN Classification
  • Case Study
  • Naive Bayesian classifiers
  • Case Study
  • SVM - Support Vector Machines
  • Case Study
6. Unsupervised learning : Clustering approaches
  • K Means clustering
  • Hierarchical clustering
  • Case Study
7. Ensemble Techniques: Decision Trees
  • Case Study
  • Introduction to Ensemble Learning
  • Different Ensemble Learning Techniques
  • Bagging
  • Boosting
  • Random Forests
  • Case Study
  • PCA (Principal Component Analysis) and Its Applications
  • Case Study
8. Recommendation systems: Introduction to Recommendation Systems
  • Types of Recommendation Techniques
  • Collaborative Filtering
  • Content based Filtering
  • Hybrid RS
  • Performance measurement
  • Case Study

Machine learning with Python- LIVE VIRTUAL

£ 2,049 VAT inc.